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Singular value decomposition and its application to numerical inversion for ray transforms in 2D vector tomography

机译:奇异值分解及其在二维矢量断层扫描中射线变换数值反演中的应用

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The operators of longitudinal and transverse ray transforms acting on vector fields on the unit disc are considered in the paper. The goal is to construct SVD-decompositions of the operators and invert them approximately by means of truncated decomposition for the parallel scheme of data acquisition. The orthogonal bases in the initial spaces and the image spaces are constructed using harmonic, Jacobi and Gegenbauer polynomials. Based on the obtained decompositions inversion formulas are derived and the polynomial approximations for the inverse operators are obtained. Numerical tests for data sets with different noise levels of smooth and discontinuous fields show the validity of the approach for the reconstruction of solenoidal or potential parts of vector fields from their ray transforms.
机译:本文考虑了作用在单位圆盘上矢量场上的纵向和横向射线变换的算符。目标是构造算子的SVD分解,并通过截断分解将其近似反转,以用于并行数据采集方案。使用调和,Jacobi和Gegenbauer多项式构造初始空间和图像空间中的正交基。基于获得的分解,导出反演公式,并获得逆算子的多项式近似。对具有不同噪声水平的平滑场和不连续场的数据集进行的数值测试表明,该方法从其射线变换重建矢量场的螺线管或潜在部分的有效性。

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